Smart Farming
Upload drone imagery, soil sensor data, and weather information for comprehensive crop monitoring and AI-powered analysis
Loading recent activity...
Drone Imagery Analysis
Upload and analyze multispectral, thermal, high resolution drone imagery
Soil Sensor Data
Process soil moisture, pH, nutrient content and soil temperature readings
Weather Integration
Incorporate real-time weather data to power a more comprehensive analysis.
AI-Powered Insights
Get actionable recommendations for crop management
How It Works
From a drone flight to advice, step by step
1
Upload Data
One XML file per drone flight, with NDVI statistics for every plot of the field.
- NDVI mean, maximum, minimum, spread and range per plot
- Days after sowing computed per plot from the two dates
- Choose the model pack: Data Collection 1 or Data Collection 2
Drop an NDVI XML file from a drone flight
Upload Data
Upload the NDVI zonal statistics of a drone flight (XML) with the sowing date and the date the images were taken.
AI Analysis
Model packs score irrigation and nitrogen per plot, and NDVI is judged against the healthy range for the wheat growth stage.
Get Results
An AI model turns the growth stage, the two levels and the NDVI check into water and fertiliser advice.